Sort by
Refine Your Search
-
instrumentation (single-cell mass spectrometry, high-resolution microscopy, next-generation sequencing) and artificial intelligence-guided computational workflows. Job Description Develop computational image
-
uses super-resolution microscopy and electron-microscopy to investigate rapid synaptic organelle dynamics during neurotransmission. The Fellow will design and conduct experiments aimed at identifying
-
, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
-
positions in 2026 focussing on nanoparticle catalysis using advanced operando electron microscopy. If you thrive in a collaborative, cutting-edge setting and want to make a global impact, we want to hear from
-
will apply include endogenous protein tagging by CRISPR and integrases, in-cell interaction proteomics by proximity labeling, subcellular localization by spatial proteomics and fluorescence microscopy
-
. The ideal candidate for the position has a PhD in virology, cell biology, developmental biology, neuroscience or a closely related biomedical field, with a solid practical background in 3D cell culture
-
responses, α-synuclein pathology Immunofluorescence and confocal microscopy, high-content imaging, quantitative image analysis, SDS-PAGE and Western blot Testing of candidate compounds Contribution to single
-
Fluorescence in situ hybridization (FISH, CARD-FISH), advanced microscopy, community sequencing, and metagenomics The work will be carried out in the Archaea group, Section for Microbiology, Department
-
collaborative environment with projects and interactions spanning multiple labs within the group, across NIST and externally. Candidates should have a PhD in physics, electrical engineering, mechanical
-
of artificial intelligence, microscopy, and quantitative biology, translating cutting-edge research into robust tools that are used by researchers worldwide. Our work contributes directly to enabling reproducible